2 papers
cs.LG2025
FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data
Yue Chen, Jianfeng Lu, Shuqing Cao +3
While semi-asynchronous federated learning (SAFL) combines the efficiency of synchronous training with the flexibility of asynchronous updates, it inherently suffers from participa…
cs.GT2025
DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information
Yun Xin, Jianfeng Lu, Shuqin Cao +3
Online Federated Learning (OFL) is a real-time learning paradigm that sequentially executes parameter aggregation immediately for each random arriving client. To motivate clients t…